SOTAVerified

Conditional Text Generation

The task of generating text according to some pre-specified conditioning (e.g. topic or sentiment or constraint)

Papers

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Showing 11–20 of 67 papers

TitleStatusHype
Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark RemedyCode0
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute ManipulationCode1
Learning to Generate Better Than Your LLMCode1
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
EEL: Efficiently Encoding Lattices for RerankingCode0
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion—0
GlyphDiffusion: Text Generation as Image Generation—0
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and DatasetCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-2-no-fine-tuningIgnored Constraint Error Rate28.2—Unverified
2GPT-2-fine-tuned-5-epochsIgnored Constraint Error Rate0.5—Unverified
3GPT-2-fine-tuned-20-epochsIgnored Constraint Error Rate0.3—Unverified
4GPT-2-with-filterIgnored Constraint Error Rate0—Unverified